Staged Training Report ✓ Complete

Run ID: stage10batch1run
Generated: 2026-02-10 12:49:31
Stages Completed: 1
Total Elapsed Time: 02:00:25

Configuration

Config Defaults Changed Since Last Commit

ParameterPreviousCurrent
runs_per_stage 1 2
serial_runs None True
All Configuration Parameters (59 parameters)
ParameterValue
total_samples10000000
batch_size1
stage_samples_multiplier100000000000
update_interval250
window_size100
num_best_models_to_keep1
sampling_modeLoss-weighted
loss_weight_temperature0.5
loss_weight_refresh_interval50
stop_on_divergenceTrue
divergence_gap0.002
divergence_ratio1.3
divergence_patience10
divergence_min_updates5
val_spike_threshold2.0
val_spike_window15
val_spike_frequency0.75
val_plateau_patience100
val_plateau_min_delta0.0001
custom_lr0.0001
disable_lr_scalingTrue
custom_warmup-1
lr_min_ratio0.001
resume_warmup_ratio0.05
plateau_factor0.8
plateau_patience20
preserve_optimizerFalse
preserve_schedulerTrue
samples_modeTrain additional samples
num_random_obs_to_visualize2
selected_frame_offset3
runs_per_stage2
serial_runsTrue
clean_old_checkpointsTrue
enable_baselineFalse
baseline_runs_per_stage1
run_idstage10batch1run
enable_wandbTrue
wandb_projectdevelopmental-robot-movement
lr_sweep.lr_min1e-07
lr_sweep.lr_max0.01
lr_sweep.phase_a_num_candidates5
lr_sweep.phase_a_seeds1
lr_sweep.phase_a_time_budget_min3.0
lr_sweep.phase_a_survivor_count2
lr_sweep.phase_b_seeds3
lr_sweep.phase_b_time_budget_min10.0
lr_sweep.ranking_metricmedian_best_val
lr_sweep.min_samples_before_timeout1000
lr_sweep.min_evals_before_stop5
lr_sweep.save_sweep_stateTrue
plateau_sweep.enabledTrue
plateau_sweep.plateau_ema_alpha0.9
plateau_sweep.plateau_improvement_threshold0.0005
plateau_sweep.plateau_patience100
plateau_sweep.cooldown_updates5
plateau_sweep.max_sweeps_per_stage2
plateau_sweep.min_sweep_improvement0.0
stage_time_budget_min180

Timing Summary

Stage Plateau Sweeps Sweep Time Training Time Stage Total
Stage 10 4 00:55:50 00:37:27 01:33:18
TOTAL 4 00:55:50 00:37:27 01:33:18

Plateau Sweep Details

Total Sweeps: 4
Stages with Sweeps: 1 of 1
Total Sweep Time: 00:55:50
Average Sweep Duration: 00:13:57

Stage 10: 4 sweeps

LR Progression: 1.0e-04 → 1.8e-06 → 1.8e-06 → 1.0e-07 → 1.0e-07

Sweep # Triggered At (samples) Wall Time Selected LR Duration
1 25,000 00:07:24 1.78e-06 00:14:00
2 50,000 00:30:37 1.78e-06 00:14:02
3 75,000 00:52:52 1.00e-07 00:13:52
4 100,000 01:14:04 1.00e-07 00:13:54

Stage Results

Stage Best Loss Stop Reason Samples Trained Time Sweeps LR (Initial→Final)
Stage 10 0.007568 divergence 18,500 01:33:18 4 1.0e-04→1.0e-07

Total Plateau Sweeps: 4

Stop Reason Breakdown

Loss Across Full Training Run

Multi-Run Statistics

Total Runs: 2
Average Best Loss: 0.007724 ± 0.000156
Best Overall: 0.007568
Worst Overall: 0.007880

Stage 10 (2 runs)

Run Best Loss Stop Reason Samples Time Selected
1 0.007568 divergence 18,500 01:33:18
2 0.007880 divergence 17,750 00:26:35
Mean: 0.007724 ± 0.000156 Min: 0.007568 / Max: 0.007880 Range: 0.000311

Best Checkpoint

Name: best_model_auto_session_so101_should_pan_500_stage10_train_304_stage10batch1run_00110250_cont_val_0.007568.pth
Stage: 10
Hybrid Loss (full session): 0.016286

Learning Rate Timeline with Plateau Sweeps

Stage Progression

Stage Orig Loss Train Loss Time Samples Stop Reason
10 ⭐ 0.016286 0.007568 01:33:18 18500 divergence

Hybrid Loss Over Original Session (per Stage)

Stage 10 (Best) - Hybrid Loss: 0.016286

Sample Counts

Cumulative Across All Stages

Per Stage

Stage 10 (Best) - Total Samples: 18,500

Best Checkpoint Inference

Selected Frame 3

Action 0

Action 1

Action 2

Random Observations

Observation 325

Action 0
Action 1
Action 2

Observation 187

Action 0
Action 1
Action 2